Software Engineer - Data Engine

الوصف

About us:

Founded by former Google search engineers with PhDs in AI from ETH Zurich, DeepJudge helps legal teams unlock and apply the knowledge inside their organizations through world-class enterprise search and AI infrastructure – enabling them to automate workflows, build knowledge-powered applications, and turn institutional knowledge into a lasting advantage.

Every organization can license the same AI models, but no two organizations share the same institutional knowledge. Decades of experience, work product, and precedent are often fragmented across systems, underused, and inaccessible. DeepJudge makes this expertise instantly available and actionable – helping legal teams find the right information faster, surface relevant knowledge, and apply it where it matters most.

Our platform is trusted by many of the world’s leading law firms and legal teams, including Holland & Knight, Gunderson Dettmer, Cozen O’Connor, ArentFox Schiff, CMS Switzerland, Schoenherr, and others.

Headquartered in Switzerland with a growing team across North America and Europe, DeepJudge is shaping the future of how professional knowledge is discovered and applied.

At DeepJudge, we move with urgency, think rigorously, and work closely with our clients to build products that solve meaningful problems. If you want to help define how AI transforms professional knowledge work, we’d love to hear from you.

About the role:

We’re hiring engineers for a greenfield project. Fundamental implementation decisions are still open. You’ll help make those decisions, test ideas, and build and operate the resulting systems in production.

We’re looking for engineers with experience building stateful backend systems. Experience with storage systems, distributed execution, or data processing infrastructure would be particularly relevant. You should be comfortable investigating unfamiliar problems, questioning assumptions, and making technical decisions with incomplete information.

What you’ll do:

• Taking end-to-end ownership of core components of our new data platform, from design to running in production

• Write reliable, production-grade software and help set high engineering standards for a growing system

You're a great fit if you:

• Have strong fundamentals and can think from first principles, turning rough ideas into well-designed abstractions

• Have experience shipping and operating backend systems while paying careful attention to correctness, reliability, and performance

• Have experience working with databases (SQL and/or NoSQL) and a solid understanding of how they work

• Want real ownership and are energised, not slowed down, by ambiguity

• (Nice to have) Have experience with data engineering or big data technologies

• (Nice to have) Have experience working with or building stateful infrastructure, such as job schedulers, workflow engines, or data processing systems

• (Nice to have) Have experience evaluating and optimizing large LLM workloads for quality and cost.

• (Nice to have) Have startup experience or open-source contributions

What you can look forward to:

• Co-Ownership of a core platform

• Hard, meaningful engineering problems across orchestration, storage, and distributed systems

• Room to grow with the platform – as it scales, so does your scope

• Location: Office 5min walking distance from Zurich central station, where we primarily work on site

At DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.

If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.

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